1.身心健康的生命早期决定因素

2.机器学习方法在真实世界多模态临床大数据中的应用

1. 2001-2021，Preterm birth, maternal and cord blood metabolome, and child metabolic risk (R01HD041702), 资金来源：Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) at the National Institutes of Health (NIH)，参与

2. 2014-2022，MCH Autism Longitudinal Data Project （R40MC27443；UJ2MC31074），资金来源：Maternal and Child Health Bureau at the Health Resources and Services Administration (HRSA)，参与

3. 2018-2019，Harness Big Data and Machine Learning to Develop Tools for Autism Risk Prediction and Intervention，资金来源：Johns Hopkins Discovery Awards，参与

1. Y. Ji, R. E. Azuine, Y. Zhang, W. Hou, X. Hong, G. Wang, A. Riley, C. Pearson, B. Zuckerman and X. Wang. “Association of Cord Plasma Biomarkers of In Utero Acetaminophen Exposure With Risk of Attention-Deficit/ Hyperactivity Disorder and Autism Spectrum Disorder in Childhood”. In: JAMA psychiatry (2019), pp. 1–11.

2. R. E. Azuine, Y. Ji(共同第一作者), H.-Y. Chang, Y. Kim, H. Ji, J. DiBari, X. Hong, G. Wang, G. K. Singh, C. Pearson et al. “Prenatal Risk Factors and Perinatal and Postnatal Outcomes Associated With Maternal Opioid Exposure in an Urban, Low-Income, Multiethnic US Population”. In: JAMA network open 2.6 (2019), e196405–e196405.

3. Y. Ji, X. Hong, G. Wang, N. Chatterjee, A. W. Riley, L.-C. Lee, P. J. Surkan, T. R. Bartell, B. Zuckerman and X. Wang. “A prospective birth cohort study on early childhood lead levels and attention deficit hyperactivity disorder: new insight on sex differences”. In: The Journal of pediatrics (2018).

4. Y. Ji, A. Riley, L.-C. Lee, X. Hong, G. Wang, H.-J. Tsai, N. Mueller, C. Pearson, J. Thermitus, A. Panjwani et al. “Maternal biomarkers of acetaminophen use and offspring attention deficit hyperactivity disorder”. In: Brain sciences 8.7 (2018), p. 127.

5. Y. Ji, A. W. Riley, L.-C. Lee, H. Volk, X. Hong, G. Wang, R. Angomas, T. Stivers, A. Wahl, H. Ji et al. “A prospective birth cohort study on maternal cholesterol levels and offspring attention deficit hyperactivity disorder: new insight on sex differences”. In: Brain sciences 8.1 (2017), p. 3.

6. Y. Ji, X. Kong, G. Wang, X. Hong, X. Xu, Z. Chen, T. Bartell, X. Xu, G. Tang, F. Hou et al. “Distribution and determinants of plasma homocysteine levels in rural Chinese twins across the lifespan”. In: Nutrients 6.12 (2014), pp. 5900–5914.

7. G. Wang, S. Divall, S. Radovick, D. Paige, Y. Ning, Z. Chen, Y. Ji, X. Hong, S. O. Walker, D. Caruso, et al. “Preterm birth and random plasma insulin levels at birth and in early childhood”. In: JAMA 311.6 (2014), pp. 587–596.

8. A. A. Panjwani, Y. Ji, J. W. Fahey, A. Palmer, G. Wang, X. Hong, B. Zuckerman, and X. Wang. “Maternal Dyslipidemia, Plasma Branched-Chain Amino Acids, and the Risk of Child Autism Spectrum Disorder: Evidence of Sex Difference”. In: Journal of Autism and Developmental Disorders (2019), pp. 1–11.

9. A. A. Panjwani, Y. Ji, J. W. Fahey, A. Palmer, G. Wang, X. Hong, B. Zuckerman, and X. Wang. “Maternal Obesity/Diabetes, Plasma Branched-Chain Amino Acids, and Autism Spectrum Disorder Risk in Urban Low-Income Children: Evidence of Sex Difference”. In: Autism Research 12.10 (2019), pp. 1562–1573.

10. L. Okano, Y. Ji(共同第一作者), A. W. Riley, and X. Wang. “Maternal psychosocial stress and children’s ADHD diagnosis: a prospective birth cohort study”. In: Journal of Psychosomatic Obstetrics & Gynecology (2018), pp. 1–9.